Abstract
A statistical analysis was performed on hydrochemical and hydrobiological data obtained from samples of macrozoobenthos, meiobenthos, and zooplankton in 2013 and 2018 from different biotopes of the five highly mineralized rivers of the basin of the hyperhaline Lake Elton. The general trends in the formation of the species structure of the metacommunity of aquatic organisms are considered based on the Lybold-Mikkelson concepts. Randomized null models are used to test hypotheses on the consistent occurrence of species (coherence), the formation of compact species associations (boundary clumping), and the regular change in the species composition along environmental gradients (turnover). The nature of changes in biotic diversity were determined to be nonstationary and intermittent, and the taxonomic structure was highly mosaic, which is characteristic of stochastic-type ecosystems. A close correlation was established within individual mixed associations of benthic and planktonic species due to biotic interactions and the coordinated response of organisms to environmental factors. Statistical models Random Forest and subsequent multivariate analysis were used to identify groups of species by the degree of tolerance to external abiotic influences, and the sets of factors having a significant impact were established.
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REFERENCES
Connor, E.F. and Simberloff, D., The assembly of species communities: chance or competition? Ecology, 1979, vol. 60, pp. 1132–1140.
Friedman, J., Hastie, T., and Tibshirani, R., Sparse inverse covariance estimation with the graphical lasso, Biostatistics, 2007, vol. 9, pp. 432–441.
Hausdorf, B. and Hennig, C., Null model tests of clustering of species, negative co-occurrence patterns and nestedness in meta-communities, Oikos, 2007, vol. 116, pp. 818–828.
Hennig, C. and Hausdorf, B., Distance-based parametric bootstrap tests for clustering of species ranges, Comput. Stat. Data Anal., 2004, vol. 45, pp. 875–895.
Kursa, M. and Rudnicki, W., Feature selection with the Boruta package, J. Stat. Software, 2010, vol. 36, no. 11, pp. 2–12.
Presley, S.J., Higgins, C.L., and Willig, M.R., A comprehensive framework for the evaluation of metacommunity structure, Oikos, 2010, vol. 119, pp. 908–917.
Leibold, M.A. and Mikkelson, G.M., Coherence, species turnover, and boundary clumping: elements of meta-community structure, Oikos, 2002, vol. 97, pp. 237–250.
Sanderson, J.G., Null model analysis of communities on gradients, J. Biogeogr., 2004, vol. 31, pp. 879–883.
Shitikov, V.K. and Zinchenko, T.D., Statistical methods for analysis of the species structure of communities (by the example of the riverine macrozoobenthos), Biol. Bull. Rev., 2012, vol. 2, no. 1, pp. 25–35.
Zinchenko, T.D., Gladyshev, M.I., Makhutova, O.N., Sushchik, N.N., Kalachova, G.S., and Golovatyuk, L.V., Saline rivers provide arid landscapes with a considerable amount of biochemically valuable production of chironomid (Diptera) larvae, Hydrobiologia, 2014, vol. 722, no. 1, pp. 115–128.
Zinchenko, T.D., Golovatyuk, L.V., Abrosimova, E.V., and Popchenko, T.V., Macrozoobenthos in saline rivers in the Lake Elton basin: spatial and temporal dynamics, Inland Water Biol., 2017b, vol. 10, no. 4, pp. 384–398.
Zinchenko, T.D., Shitikov, V K., Golovatyuk, L.V., Gusakov, V.A., and Lazareva, V.I., Plankton and bottom communities in the saline rivers of Lake Elton basin: statistical analysis of dependences, Arid Ecosyst., 2018, vol. 8, no. 3, pp. 225–230.
Zinchenko, T.D., Shitikov, V K., Golovatyuk, L.V., Gusakov, V. A., and Lazareva, V.I., Analysis of relations between communities of hydrobionts in saline rivers by multidimensional block ordination, Inland Water Biol., 2019a, vol. 12, suppl. 2, pp. 104–110.
Zinchenko, T.D., Shitikov, V K., Golovatyuk, L.V., and Abrosimova, E.V., Multivariate statistical analysis of the structure of planktonic and benthic communities of mineralized rivers in the Lake Elton basin, Povolzh. Ekol. Zh., 2019b, no. 4, pp. 407–418.
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ACKNOWLEDGMENTS
The authors are grateful to V.A. Gusakov, V.I. Lazareva, and S.E. Bolotov (Papanin Institute for Biology of Inland Waters Russian Academy of Sciences, Borok, Russia) for participation in collection and identification of plankton and meiobenthos organisms.
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The work was carried out within the framework of the state task “Assessment of Modern Biodiversity and Forecast of its Changes for the Volga Basin Ecosystems under Conditions of Their Natural and Anthropogenic Transformation,” project no. AAAA17-117112040040-3 and was partially supported by the Russian Foundation for Basic Research, project no. 17-04-00135.
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Conflict of interests. The authors declare that they have no conflicts of interest.
Statement on the welfare of humans or animals. This article does not contain any studies involving animals performed by any of the authors.
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Zinchenko, T.D., Shitikov, V.K., Golovatyuk, L.V. et al. Analysis of the Structure of the Metacommunity of Plankton and Bottom Organisms in Rivers of the Lake Elton Basin. Arid Ecosyst 10, 390–395 (2020). https://doi.org/10.1134/S2079096120040204
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DOI: https://doi.org/10.1134/S2079096120040204